{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["93"],"submitter":["Ning C"],"pubmed_abstract":["<h4>Background</h4>Various studies have reported cell-free RNAs (cfRNAs) as noninvasive biomarkers for detecting hepatocellular carcinoma (HCC). However, they have not been independently validated, and some results are contradictory. We provided a comprehensive evaluation of various types of cfRNA biomarkers and a full mining of the biomarker potential of new features of cfRNA.<h4>Methods</h4>We first systematically reviewed reported cfRNA biomarkers and calculated dysregulated post-transcriptional events and cfRNA fragments. In 3 independent multicentre cohorts, we further selected 6 cfRNAs using RT-qPCR, built a panel called HCCMDP with AFP using machine learning, and internally and externally validated HCCMDP's performance.<h4>Findings</h4>We identified 23 cfRNA biomarker candidates fro"],"journal":["EBioMedicine"],"pagination":["104645"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC10363443"],"repository":["biostudies-literature"],"pubmed_title":["A comprehensive evaluation of full-spectrum cell-free RNAs highlights cell-free RNA fragments for early-stage hepatocellular carcinoma detection."],"pmcid":["PMC10363443"],"pubmed_authors":["Li G","Yan L","Ning C","Lu ZJ","Cai P","Chen L","Bao P","Liu X","Tang K","Ning M","Guo H","Luo Y","Wang Y","Wang Z","Yin J"],"additional_accession":[]},"is_claimable":false,"name":"A comprehensive evaluation of full-spectrum cell-free RNAs highlights cell-free RNA fragments for early-stage hepatocellular carcinoma detection.","description":"<h4>Background</h4>Various studies have reported cell-free RNAs (cfRNAs) as noninvasive biomarkers for detecting hepatocellular carcinoma (HCC). However, they have not been independently validated, and some results are contradictory. We provided a comprehensive evaluation of various types of cfRNA biomarkers and a full mining of the biomarker potential of new features of cfRNA.<h4>Methods</h4>We first systematically reviewed reported cfRNA biomarkers and calculated dysregulated post-transcriptional events and cfRNA fragments. In 3 independent multicentre cohorts, we further selected 6 cfRNAs using RT-qPCR, built a panel called HCCMDP with AFP using machine learning, and internally and externally validated HCCMDP's performance.<h4>Findings</h4>We identified 23 cfRNA biomarker candidates fro","dates":{"release":"2023-01-01T00:00:00Z","publication":"2023 Jul","modification":"2026-04-12T23:14:36.441Z","creation":"2024-12-03T20:33:55.5Z"},"accession":"S-EPMC10363443","cross_references":{"pubmed":["37315449"],"doi":["10.1016/j.ebiom.2023.104645"]}}